At a Glance
- Tasks: Design and deploy AI-driven systems, integrating cutting-edge technologies in a hands-on role.
- Company: Join a forward-thinking tech company based in London with a hybrid work culture.
- Benefits: Enjoy competitive pay, health perks, and opportunities for professional growth.
- Other info: Dynamic environment with excellent career growth opportunities and hands-on engineering focus.
- Why this job: Make a real impact by working on innovative AI projects that shape the future.
- Qualifications: 8+ years in software engineering with strong cloud-native and AI system experience.
The predicted salary is between 70000 - 90000 € per year.
Seeking a hands-on AI Native Software Engineer to design, build, and deploy production-grade AI-driven systems within enterprise environments. The role focuses on implementing agent-based workflows, integrating AI platforms, and delivering scalable cloud-native solutions.
Responsibilities
- AI Agent Engineering
- Design and implement AI agents, including: Retrieval (RAG), Orchestration workflows, Tool/function invocation, Policy-based routing
- Build evaluation frameworks for accuracy, latency, and reliability
- Implement observability and monitoring for agent lifecycle
- AI Platform Integration
- Integrate with AI providers (e.g., OpenAI, Anthropic, Google Vertex, open-source models)
- Build abstraction layers to support multi-model and multi-provider architectures
- Optimize model usage for performance, cost, and latency
- Cloud-Native Development
- Develop scalable services using: Microservices architecture, Containers (Docker, Kubernetes), Serverless and event-driven patterns
- Implement CI/CD pipelines and infrastructure as code (e.g., Terraform, Helm)
- Ensure production readiness, logging, monitoring, and fault tolerance
- Application Development
- Build and deploy AI-powered applications aligned to business workflows
- Integrate AI systems into existing enterprise platforms and APIs
- Develop backend services and APIs supporting agent workflows
- Testing & Performance
- Define and execute test strategies for AI systems
- Measure system performance (latency, throughput, accuracy, cost)
- Debug and optimize production systems
Required Skills & Experience
- 8-10+ years of software engineering experience
- Strong experience with cloud-native systems (APIs, microservices, containers, serverless)
- Experience building and deploying AI/LLM-based systems in production (agents, RAG, orchestration)
- Proficiency in Python, Java, or similar backend languages
- Experience with: CI/CD pipelines, Infrastructure as code, Monitoring and observability tools
- Hands-on experience with AI platforms (OpenAI, Claude, Vertex AI, or similar)
Preferred Experience
- Experience with agent frameworks (e.g., LangGraph, AutoGen, CrewAI)
- Experience designing multi-agent or distributed AI systems
- Familiarity with enterprise-scale system integration
- Experience optimizing AI workloads for cost and performance
Scope & Expectations (Contractor-Specific)
- 100% hands-on engineering role (no people management)
- Deliver production-quality code and deployments
- Work within existing architecture and engineering standards
- Collaborate with client and internal engineering teams as needed
- Participate in technical design discussions (implementation-focused)
AI Native Software Engineer in Slough employer: Skilliantech Ltd
Join a forward-thinking company in London that values innovation and collaboration, offering a dynamic work culture where your contributions as an AI Native Software Engineer will directly impact enterprise-level AI solutions. With a hybrid work model and opportunities for travel across the UK, you will benefit from a supportive environment that fosters professional growth through hands-on experience with cutting-edge technologies and a commitment to continuous learning.
StudySmarter Expert Advice🤫
We think this is how you could land AI Native Software Engineer in Slough
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and software engineering space. Attend meetups, webinars, or tech events where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI-driven systems or cloud-native solutions. Having tangible examples of your work can really set you apart when you're chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss your experience with AI platforms and cloud-native development. Practise common interview questions and maybe even do some mock interviews with friends.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of exciting opportunities for AI Native Software Engineers. Keep an eye on our listings and make sure your application stands out by tailoring it to the specific role you're after.
We think you need these skills to ace AI Native Software Engineer in Slough
Some tips for your application 🫡
Show Off Your Skills:When you're writing your application, make sure to highlight your experience with cloud-native systems and AI platforms. We want to see how your skills align with the role of an AI Native Software Engineer, so don’t hold back!
Tailor Your Application:Take a moment to customise your application for us. Mention specific projects or experiences that relate to agent-based workflows or cloud-native development. This shows us you’re genuinely interested in the position and understand what we’re looking for.
Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant. Make it easy for us to see why you’d be a great fit for our team!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Skilliantech Ltd
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI platforms like OpenAI and Google Vertex. Be ready to discuss your hands-on experience with building and deploying AI systems, especially agent-based workflows. This is your chance to show off your expertise!
✨Showcase Your Cloud-Native Skills
Since the role involves cloud-native development, be prepared to talk about your experience with microservices, containers, and serverless architectures. Bring examples of projects where you've implemented CI/CD pipelines or used infrastructure as code tools like Terraform.
✨Prepare for Technical Questions
Expect some deep dives into your technical skills. Practice explaining your approach to designing scalable services and how you've tackled performance issues in past projects. Being able to articulate your thought process will impress the interviewers.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's AI initiatives and how they integrate AI into their existing systems. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
